A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation

We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional with respect to both a level set function and a (vector-valued) labeling function, we jointly generate a segmentation (by the level set function) and a recognition-driven partition of the image domain (by the labeling function) which indicates where to enforce certain shape priors. Our framework fundamentally extends previous work on shape priors in level set segmentation by directly addressing the central question of where to apply which prior. It allows for the seamless integration of numerous shape priors such that

• Type: Journal
• Year: 2006
• Where: IJCV
• Authors: Daniel Cremers, Nir A. Sochen, Christoph Schnörr
• Keywords: Certain Shape Priors, IJCV 2006, Multiple Competing Shape, Shape Priors